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A deep-learning based Bayesian approach to seismic imaging and
  uncertainty quantification

A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification

13 January 2020
Ali Siahkoohi
G. Rizzuti
Felix J. Herrmann
    UQCV
    BDL
ArXivPDFHTML

Papers citing "A deep-learning based Bayesian approach to seismic imaging and uncertainty quantification"

3 / 3 papers shown
Title
Learned multiphysics inversion with differentiable programming and
  machine learning
Learned multiphysics inversion with differentiable programming and machine learning
M. Louboutin
Ziyi Yin
Rafael Orozco
Thomas J. Grady
Ali Siahkoohi
G. Rizzuti
Philipp A. Witte
O. Møyner
Gerard Gorman
Felix J. Herrmann
AI4CE
13
10
0
12 Apr 2023
Uncertainty Quantification for Deep Unrolling-Based Computational
  Imaging
Uncertainty Quantification for Deep Unrolling-Based Computational Imaging
Canberk Ekmekci
Müjdat Çetin
UQCV
11
10
0
02 Jul 2022
Stochastic seismic waveform inversion using generative adversarial
  networks as a geological prior
Stochastic seismic waveform inversion using generative adversarial networks as a geological prior
L. Mosser
O. Dubrule
M. Blunt
GAN
AI4CE
66
207
0
10 Jun 2018
1